Senior SAP SD RAR Lead - Revenue Recognition & Solutions

TechDigital Group; Santa Clara (CA); Sur place; USD 140 000 - 180 000; Plein temps

Résumé du poste

TechDigital Group is seeking an experienced AI software engineer to design and build enterprise-grade agents on Google Gemini Enterprise using the ADK. You will implement agent logic, orchestration, memory, tools, prompts, and guardrails for Finance, Marketing, and HR use cases.

You will work with Data & AI Engineers, API/MCP Developers, and FDEs to integrate with enterprise data and publish reusable components to the Client Agent Library, while performing thorough testing and optimization of

Qualifications

• Hands-on Google ADK and Gemini Enterprise agent development.
• Strong Python and prompt engineering for LLM/GenAI applications.
• Experience with RAG, embeddings, vector search, and grounding.
• Understanding of agent orchestration (A2A) and MCP tool integration.

Responsabilités

• Develop AI agents using Google ADK, Gemini foundation models, and the A2A protocol.
• Implement agent reasoning, planning, tool invocation, memory, and sub-agent orchestration.
• Integrate agents with enterprise data (Databricks, ServiceNow, Snowflake, OneDrive, Adobe, PDFs) via MCP and RAG.
• Build reusable, modular agent components and publish to the Client Agent Library.
• Perform unit and evaluation testing using the ADK eval framework; optimize prompts and model configuration.
• Collaborate with Data & AI Engineers, API/MCP Developers, and FDEs across the sprint lifecycle.

Connaissances

ADK Gemini Dev

Python skills

Prompt engineering

RAG & embeddings

Agent orchestration

MCP integration

Outils

Vertex AI

LangChain

LlamaIndex

Cloud Run

GKE

Description du poste

Mandatory Skills Gemini Enterprise -Agent Development Kit

Role Summary

Designs and builds enterprise-grade AI agents on Google Gemini Enterprise using the Agent Development Kit (ADK) for Client's Finance, Marketing, and HR use cases. Implements agent logic, orchestration, memory, tools, prompts, and guardrails, and contributes reusable components to the Client Agent Library.

Key Responsibilities

• Develop AI agents using Google ADK, Gemini foundation models, and the A2A protocol.
• Implement agent reasoning, planning, tool invocation, memory, and sub-agent orchestration.
• Integrate agents with enterprise data (Databricks, ServiceNow, Snowflake, OneDrive, Adobe, PDFs) via MCP and RAG.
• Build reusable, modular agent components and publish to the Client Agent Library.
• Perform unit and evaluation testing using the ADK eval framework; optimize prompts and model configuration.
• Collaborate with Data & AI Engineers, API/MCP Developers, and FDEs across the sprint lifecycle.

Mandatory (Must-Have) Skills

• Hands-on Google ADK and Gemini Enterprise agent development.
• Strong Python and prompt engineering for LLM/GenAI applications.
• Experience with RAG, embeddings, vector search, and grounding.
• Understanding of agent orchestration (A2A) and MCP tool integration.

Preferred (Good-to-Have) Skills

• Vertex AI, LangChain / LlamaIndex, Cloud Run / GKE.
• AI safety, evaluation, and guardrail patterns (Model Armor, Guardrails AI).
• Finance / Marketing / HR domain exposure.

Experience & Certifications

• 6+ years software engineering with 2+ years GenAI/LLM development.
• Google Cloud / Gemini / ADK certification preferred.
• Must be able to work onsite in the USA aligned to Client hours